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| audioread | kapre | |
|---|---|---|
| - | 1 | |
| 479 | 910 | |
| 1.5% | - | |
| 4.7 | 0.0 | |
| about 2 months ago | 6 months ago | |
| Python | Python | |
| MIT License | MIT License |
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[D] Audio processing on mobile devices
Consider Keras Audio Preprocessors. You can basically use that to insert a convolutional layer into the beginning of your TensorFlow model that has fixed weights that will convert the raw audio frames to STFT and Mel-Frequency Spectrograms.
What are some alternatives?
librosa - Python library for audio and music analysis
pydub - Manipulate audio with a simple and easy high level interface
mutagen - Python module for handling audio metadata
essentia - C++ library for audio and music analysis, description and synthesis, including Python bindings
django-elastic-transcoder - Django + AWS Elastic Transcoder
id3reader - Id3reader.py is a Python module that reads ID3 metadata tags in MP3 files.
praatIO - A python library for working with praat, textgrids, time aligned audio transcripts, and audio files. It is primarily used for extracting features from and making manipulations on audio files given hierarchical time-aligned transcriptions (utterance > word > syllable > phone, etc).
ultimatevocalremovergui - GUI for a Vocal Remover that uses Deep Neural Networks.
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
matchering - 🎚️ Open Source Audio Matching and Mastering